Data Platform Architect: Enterprise Analytics & AI Lead

HCLTech; Mississauga; On-site; CAD 130,000 - 190,000; Full time

Job summary

HCLTech in Mississauga is seeking a Data Platform Architect to define and govern the enterprise data platform architecture for analytics, reporting, and AI/ML initiatives. You will partner with Product Management, Data Engineering, Cloud, Security, and Analytics teams to set standards and roadmaps.

The role demands strong technical leadership, experience with modern data ecosystems, and the ability to translate architecture into implementable solutions while ensuring security, scalability, and

Qualifications

• ,

Responsibilities

• Define and maintain enterprise data platform strategy, architecture standards, and design patterns.
• Develop target-state architectures, technical documentation, and architectural roadmaps.
• Evaluate and govern data platform, integration, and ETL/ELT technology selections.
• Provide architectural guidance for data pipelines, analytics platforms, and integration solutions.
• Establish standards for scalability, reliability, observability, security, and disaster recovery.
• Ensure compliance with data privacy, governance, and regulatory requirements.
• Standardize data integration approaches, including batch, streaming, and event-driven architectures.
• Partner with engineering teams to translate architectural standards into implementable solutions.
• Drive cost-efficient platform design and support FinOps initiatives.
• Assess emerging technologies and recommend architectural improvements, including AI-enabled data engineering capabilities.

Skills

Snowflake

Azure Data Lake

Microsoft Fabric

Databricks

SQL Server

PostgreSQL

Oracle

Education

Bachelor's degree in Computer Science / IT / Data Science

Master's degree preferred

Tools

Matillion

Apigee

Salesforce

FACETS

ServiceNow

CI/CD

IaC

Job description

HCLTech in Mississauga is seeking a Data Platform Architect to define and govern the enterprise data platform architecture for analytics, reporting, and AI/ML initiatives. You will partner with Product Management, Data Engineering, Cloud, Security, and Analytics teams to set standards and roadmaps.

The role demands strong technical leadership, experience with modern data ecosystems, and the ability to translate architecture into implementable solutions while ensuring security, scalability, and